Buch, Englisch, 268 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 441 g
Reihe: Ecological Studies
Mathematical Analysis and Modeling
Buch, Englisch, 268 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 441 g
Reihe: Ecological Studies
ISBN: 978-3-642-75400-5
Verlag: Springer
In this volume experts present the latest status of mathematical and statistical methods in use for the analysis and modeling of plant disease epidemics. Topics treated are - methods in multivariate analyses, ordination and classification, - modeling of temporal and spatial aspects of air- and soilborne diseases, - methods to analyse and describe competition among subpopulations, e.g. pathogen races and - their interaction with resistance genes of host plants - assemblage and use of models - mathematical simulation of epidemics. New chapters on the modeling of the spreading of diseases in air and in soil are included in this second edition.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
I Epidemics, Their Mathematical Analysis and Modeling: An Introduction.- 1. Concepts and Scope of Epidemiology.- 2. Mathematics in Epidemiology.- 3. Models and Their Role in Epidemiology.- 4. Mathematical Analysis of Epidemics.- 5. Models as Synoptics Tools.- 6. Outlook.- 7. References.- II Mathematics and Statistics for Analysis in Epidemiology.- 1. Introduction.- 2. Experimentation in Epidemiology.- 3. Common Mathematical Analyses.- 4. Multivariate Analyses.- 5. Other Mathematical Methods.- 6. Concluding Remarks.- References.- III Mathematical Analysis and Modeling of Spatial Aspects of Plant Disease Epidemics.- 1. Introduction.- 2. Populations Changing in Space.- 3. Population Models of Spatial Change.- 4. Spatial and Temporal Spread of Disease.- References.- IV Mathematical Modeling and Analysis of Soilborne Pathogens.- 1. Introduction.- 2. Conceptual Models for Subterranean Epidemics.- 3. Analysis of Subterranean Epidemics.- References.- V Multiple Regression Analysis in the Epidemiology of Plant Diseases.- 1. Introduction.- 2. The Nature of Multiple Regression Analysis in Epidemiology.- 3. The Execution of Multiple Regression Analysis.- 4. The Interpretation of Relationships Exposed by Multiple Regression Analysis.- 5. The Applications of Multiple Regression Analysis in Epidemiology.- 6. Conclusions: The Place of Multiple Regression in CurrentApproaches to Epidemic Analysis.- References.- VI Nonlinear Disease Progress Curves.- 1. Introduction.- 2. Linear and Nonlinear Models.- 3. Models of Disease Progression.- 4. Model Selection and Parameter Estimation.- 5. Model Extensions.- 6. Discussion.- References.- VII Assembling and Using Models of Epidemics.- 1. Introduction.- 2. The Classes of Models.- 3. Accuracy of Models.- 4. Summaries by Regression Equations.- 5. Analytic Equations.- 6. Simulators of Disease.- 7. Dispersal.- 8. Models of Crops and Pests.- References.
